Issues and Opinion on Structural Equation Modeling.

Author List: Chin, Wynne W.;

MIS Quarterly, 1998, Volume 22, Issue 1, Page 1/1/2017.

In the past few years, the IS field has seen a substantial increase in the number of submissions and publications using structural equation modeling (SEM) techniques. Part of the reason may be the increase in software packages to perform such covariance-based (e.g., LISREL, EQS, AMOS, SEPATH, RAMONA, MX, and CALLS) and component-based (e.g., PLS-PC, PLS-Graph) analysis. Viewed as a coupling of two traditions--an econometric perspective focusing on prediction and a psychometric emphasis that models concepts as latent (unobserved) variables that are indirectly inferred from multiple observed measures (alternately termed as indicators or manifest variables)--SEM has allowed social scientists to perform path analytic modeling with latent variables (LVs), which in turn has led some to describe this approach as an example of 'a second generation of multivariate analysis.' (Fornell 1987, p. 408).

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#11	0.463	structural pls measurement modeling equation research formative squares partial using indicators constructs construct statistical models researchers latent analysis results sem
#282	0.171	power perspective process study rational political perspectives politics theoretical longitudinal case social rationality formation construction shows multiple instead understanding fact
#279	0.114	field work changes new years time change major period year end use past early century half traditional areas established strong
#132	0.109	likelihood multiple test survival promotion reputation increase actions run term likely legitimacy important rates findings long short higher argue prior